A GPU, or graphics processing unit, is a processor built to perform many calculations in parallel. Although originally designed for rendering graphics, this structure is well suited to the matrix and vector operations at the center of deep learning. GPUs accelerate both model training and inference, and multiple units can be connected to handle larger models or datasets. Performance depends not only on raw arithmetic speed but also on memory capacity, memory bandwidth, interconnects, numerical formats, cooling, and software libraries. Consumer, data-center, and integrated GPUs serve different workloads, so the most expensive chip is not automatically the most efficient choice for every AI application.
Broadcom is expanding its role in AI infrastructure through new chip and compute deals with Google and Anthropic. The move reflects accelerating demand for large-scale AI capacity.
Nvidia has invested $2 billion in Marvell as part of a partnership to expand AI infrastructure, including custom chips, networking, and silicon photonics.
Google has introduced TurboQuant, a new compression algorithm that reduces memory usage in AI systems while maintaining accuracy, improving performance in large models and search.
Alibaba has unveiled a new CPU designed for AI agents, focusing on inference and customizable workloads. The chip reflects China’s push to build domestic AI infrastructure.
Elon Musk announced plans for Terafab, a dual chip factory project by Tesla and SpaceX to produce AI chips for vehicles, robots, and space-based data centers.
Nvidia CEO Jensen Huang said demand for Blackwell and Vera Rubin systems could reach $1 trillion by 2027, as the company unveiled new chips, racks, and AI infrastructure at GTC.
Nvidia CEO Jensen Huang will deliver the keynote at the GTC 2026 conference, where investors expect new AI product announcements and demand outlook updates.
Encyclopaedia Britannica and Merriam-Webster have sued OpenAI, alleging the company copied nearly 100,000 articles and dictionary entries to train ChatGPT without permission.
Amazon and Cerebras have partnered to combine their AI chips in a new AWS service designed to accelerate inference for chatbots, coding tools, and other generative AI applications.
Palantir and Nvidia unveiled a sovereign AI OS reference architecture designed to deliver turnkey AI data centers. The platform integrates Nvidia Blackwell systems with Palantir’s enterprise AI software stack.